Artificial Intelligence of Things for Carbon Neutrality
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 21945
Special Issue Editors
Interests: distributed systems and blockchain; mobile edge computing; artificial intelligence of things
Special Issues, Collections and Topics in MDPI journals
Interests: wireless human activity recognition; indoor localization; IoT security and privacy
Interests: dynamic graph neural networks; spatiotemporal data analysis; urban computing; learning analytics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Carbon neutrality, which is a state of net-zero carbon dioxide emissions, has been identified as the world’s most urgent mission by The United Nations. Carbon neutrality is critical for the development of a sustainable world. Many governments, organizations, universities, and enterprises have pledged to the mission of achieving carbon neutrality by 2050. Therefore, scientists all around the world are developing technologies to enable accurate carbon accounting and significant carbon offset. Artificial Intelligence of Things (AIoT) are a promising technology to achieve carbon neutrality, which refers to the combination of artificial intelligence with the internet of things infrastructure to achieve more efficient IoT operations, improve human–machine interactions, and enhance data management and analytics. In particular, various sensors or Internet of Things devices can be deployed ubiquitously to accurately measure the amount of carbon emission. Artificial intelligence and big data analytics models and algorithms can be employed to predict the emission volume of carbon dioxide and recommend strategies for carbon reduction and removal. There is a critical need for researchers and practitioners to discuss the digital technologies and case studies of carbon neutrality. This Special Issue aims to collect the latest developments on AIoT for carbon neutrality.
The potential topics include, but are not limited to:
- Internet of Things for carbon accounting;
- Big data analytics algorithms to estimate the amount of carbon emission;
- Artificial intelligence models for recommendation of carbon reduction strategies;
- Holistic system design for carbon neutrality;
- Case studies of carbon neutrality in organizations, universities, enterprises, supply chains, etc.;
- Sustainable digital technologies;
- Comprehensive surveys of digital technologies for carbon neutrality;
- Underlying technologies of artificial intelligence of things.
Dr. Shan Jiang
Dr. Xiulong Liu
Dr. Yu Yang
Guest Editors
Manuscript Submission Information
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Keywords
- carbon neutrality
- artificial intelligence of things
- sustainable supply chains
- carbon accounting
- carbon removal
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